Neuron Dynamics Under Temperature And Ion Conductivity Control

The connections between neurons in the human brain are usually a complex network structure,and this network is often a small world network structure.Therefore,this paper proposes to use tools such as cluster firing time interval and coefficient of variation to study the discharge mode of a single neuron,using temperature and conductivity of two ions as parameters.Then,a network with similar small world properties to the human brain was used to connect 100 neurons,and temperature and potassium ion conductivity were used as parameters for simulation.Kuramoto order parameters and standard deviation were used to measure the synchronization degree of the network.The research results on individual neurons indicate that an increase in the conductivity of potassium and sodium ions can lead to changes in the firing patterns of neuronal clusters.As the ion conductivity increases,the number of peaks emitted per cluster will increase.Potassium ion conductivity and temperature can cause variability in the firing time interval of neuronal clusters,and the increase in potassium ion conductivity makes neurons sensitive to fixed temperature ranges.The above situation is more pronounced when the sodium ion conductivity changes.Fixed sodium ion conductivity causes neuronal variability to oscillate at high temperatures,while variability remains stable at low temperatures.The variability of coupled neurons in a neural network is similar to that of a single neuron.An increase in potassium ion conductivity can cause the variability of neurons in the network to oscillate with temperature,while the network regions are not synchronized.When the conductivity of potassium ions is low,the variability of individual neurons is small,and the network exhibits collective behavior.These results reveal the effects of potassium ion conductivity,sodium ion conductivity,and temperature on individual neural behavior,as well as the effects of potassium ion conductivity and temperature on the collective behavior of neural networks.By adjusting temperature and ion conductivity,the firing behavior of neurons can be controlled,and many neuronal diseases are caused by collective behavioral disorders in the brain’s neural network.It may be helpful to make more use of this pattern or intervene in related diseases.